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News
August 18, 2026
HSE Scholar Presents Research on Postcards in Brazil and South Korea
Timur Khusyainov, Deputy Dean of theFaculty of Humanities atHSE University–Nizhny Novgorod, took part in two international conferences—the XVI World Congress of Rural Sociology in Porto Alegre, Brazil, and the 36th Annual Conference of the Alliance of Digital Humanities Organisations (DH2026) in Daejeon, South Korea. On his way to the conferences, the researcher also visited several other places, where he presented the experience of the Pochtovoe educational project.
August 18, 2026
Physicists Discover What Happens Inside a Stable Vortex
Large vortices with characteristic spiral arms are often observed in the atmosphere and the ocean. Physicists from HSE University have explained how these structures form and why they retain their shape. The researchers found that velocities at points located along the same vortex arc remain correlated even over long distances. At the same time, this correlation weakens rapidly with increasing distance from the vortex centre. These differences help explain the formation of spiral arms and may improve models of atmospheric and oceanic currents. The findings have been published in Physical Review Fluids.
August 17, 2026
‘I Dream of Simple Things
Anastasia Gergenreter specialises in applied statistics and econometrics. In this interview for the Young Scientists of HSE University project, she talked about why she studies addictive substance use, two very different Fishers, and the cherry blossom season at the Main Botanical Garden in Moscow.

 

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XX IEEE International Conference on Soft Computing and Measurements (SCM)

IEEE, 2017.
Chapters
Models for respondents' behavior rate estimate: Bayesian Network structure synthesis
Suvorova A., , in: XX IEEE International Conference on Soft Computing and Measurements (SCM).: IEEE, 2017. P. 87–89.
The paper described the structure comparison of Bayesian Belief Network models for individual behavior rate estimate based on data about the last episodes of that behavior. We compared two types of network structures: expert-based and data-based. For model learning and evaluation we used data from social network VKontakte about episodes of publishing posts. The sample ...
Added: October 2, 2018
Priority areas: IT and mathematics
Language: English
Keywords: soft computing
XX IEEE International Conference on Soft Computing and Measurements (SCM)
Similar publications
Three Algorithms for Merging Hierarchical Navigable Small World Graphs
Ponomarenko A., / Series Computer Science "arxiv.org". 2025.
This paper addresses the challenge of merging hierarchical navigable small world (HNSW) graphs, a critical operation for distributed systems, incremental indexing, and database compaction. We propose three algorithms for this task: Naive Graph Merge (NGM), Intra Graph Traversal Merge (IGTM), and Cross Graph Traversal Merge (CGTM). These algorithms differ in their approach to vertex selection ...
Added: July 30, 2026
Growth in noncommutative algebras and entropy in derived categories
Piontkovski D., / Series arXiv "math". 2026.
A noncommutative projective variety is defined, following Artin and Zhang, by a graded coherent algebra 𝐴. The category of coherent sheaves is then the quotient qgr(𝐴) of the category of finitely presented graded modules by the subcategory of torsion modules. We consider the categorical and polynomial entropies of the Serre twist, that is, of the ...
Added: June 23, 2026
Multilinear nilalgebras and the Jacobian theorem
Piontkovski D., / Series arXiv "math". 2025.
If a symmetric multilinear algebra is weakly nil, then it is Engel. This result may be regarded as an infinite-dimensional analogue of the well-known Jacobian theorem, which states that if a polynomial mapping has a polynomial inverse, then its Jacobian matrix is invertible. This refines a theorem of Gerstenhaber and partially answers a question posed ...
Added: June 23, 2026
ML-based Fast Simulation of FARICH Responses
Shipilov F., Barnyakov A., Ivanov A. et al., / Series Physics "arxiv.org". 2026.
A fast simulation of the detector response is a vital task in high-energy physics (HEP). Traditional Monte-Carlo methods form the backbone of modern particle physics simulation software but are computationally expensive. We present a machine-learning-based approach to fast simulation of the Focusing Aerogel Ring Imaging Cherenkov (FARICH) detector response. Given a particle track and momentum, ...
Added: May 19, 2026
Natural hazard database from Internet publications: text mining with a large language model
Derkacheva A., Sakirkina M., Kraev G. et al., /. 2026.
Comprehensive data on natural hazards and their consequences are crucial for effective for risk assessment, adaptation planning, and emergency response. However, many countries face challenges with fragmented, inconsistent, and inaccessible data, particularly regarding local-scale events. To address this data gap in Russia, we developed an end-to-end processing pipeline that scrapes news from various online sources, ...
Added: April 28, 2026
Algorithmic overlaps as thermodynamic variables: from local to cluster Monte Carlo dynamics in critical phenomena
Pilé I., Deng Y., Shchur L., / Series arXiv "math". 2026. No. 2604.10254.
We investigate the spatial overlap of successive spin configurations in Markov chain Monte Carlo simulations using the local Metropolis algorithm and the Svendsen-Wang and Wolff cluster algorithms. We examine the dynamics of these algorithms for two models in different universality classes: the Ising model and the Potts model with three components. The overlap of two ...
Added: April 20, 2026
Using predefined vector systems to speed up neural network multimillion class classification
Gabdullin N., Androsov I., / Series Computer Science "arxiv.org". 2026.
Label prediction in neural networks (NNs) has O(n) complexity proportional to the number of classes. This holds true for classification using fully connected layers and cosine similarity with some set of class prototypes. In this paper we show that if NN latent space (LS) geometry is known and possesses specific properties, label prediction complexity can ...
Added: April 2, 2026
Iterative Ricci-Foster Curvature Flow with GMM-Based Edge Pruning: A Novel Approach to Community Detection
Sorokin K., Beketov M., Онучин А. et al., / arxiv.org. Серия cs.SI "Social and Information Networks ". 2025.
Community detection in complex networks is a fundamental problem, open to new approaches in various scientific settings. We introduce a novel community detection method, based on Ricci flow on graphs. Our technique iteratively updates edge weights (their metric lengths) according to their (combinatorial) Foster version of Ricci curvature computed from effective resistance distance between the ...
Added: January 15, 2026
Implementing Transport Coding in OMNeT++ for Message Delay Reduction
Petrovanov I., Sergeev A., / Series Computer Science "arxiv.org". 2025. No. 2512.18332.
Transport coding reduces message delay in packet-switched networks by introducing controlled redundancy at the transport layer:  original packets are encoded into  coded packets, and the message is reconstructed after the first  successful deliveries, effectively shifting latency from the maximum packet delay to the -th order statistic. We present a concise, reproducible discrete-event implementation of transport coding in OMNeT++, including ...
Added: December 24, 2025
Hessian-based lightweight neural network for brain vessel segmentation on a minimal training dataset
Меньшиков И. А., Бернадотт А. К., Elvimov N. S., / Series arXie "Statistical mechanics". 2025.
Accurate segmentation of blood vessels in brain magnetic resonance angiography (MRA) is essential for successful surgical procedures, such as aneurysm repair or bypass surgery. Currently, annotation is primarily performed through manual segmentation or classical methods, such as the Frangi filter, which often lack sufficient accuracy. Neural networks have emerged as powerful tools for medical image ...
Added: December 1, 2025
Эффективный алгоритм торговли на фондовом рынке: ретроспективный анализ, основанный на данных по S&P-500.
Rubchinskiy A., Chubarova D., / Series WP7 "Математические методы анализа решений в экономике, бизнесе и политике". 2025. No. WP7/2025/01.
The article examines one of the most famous examples of socio-economic systems, characterized by significant uncertainty – the S&P-500 stock market, where shares of 500 largest US companies are traded. No assumptions are made about the probabilistic characteristics of the stock market. A flexible algorithm for daily trading has been developed, based on both known fixed data ...
Added: November 9, 2025
9th International Conference on Computers Communications and Control (ICCCC) 2022
Springer, 2023.
The book contains 37 papers presented at the ninth edition of the International Conference of Computers, Communications and Control—ICCCC-2022 held in Oradea and Băile Felix, Romania. A balanced selection of both methodological and application-oriented papers has been made to reflect several recent worldwide trends and results. The book is organized into five sections: a) integrated solutions in computer-based ...
Added: September 29, 2022
Selected Contributions to the 10th International Conference on Integrated Models and Soft Computing in Artificial Intelligence (IMSC-2021)
[б.и.], 2021.
Selected Contributions to the 10th International Conference on Integrated Models and Soft Computing in Artificial Intelligence (IMSC-2021) ...
Added: January 8, 2022
The 10th International Conference on Integrated Models and Soft Computing in Artificial Intelligence (IMSC-2021). Kolomna
[б.и.], 2021.
Added: November 10, 2021
Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019)
P.: Atlantis Press, 2019.
Added: September 25, 2019
Atlantis Studies in Uncertainty Modelling, Proceedings of the 2019 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (EUSFLAT 2019)
Atlantis Press, 2019.
The 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019), will take place in Prague, the capital of the Czech Republic on September 9-13, 2019. The main organizer of the conference is the Institute for Research and Applications of Fuzzy Modeling (IRAFM), University of Ostrava and the Czech Institute of Informatics, ...
Added: August 21, 2019
Методы и инструменты интеллектуального анализа данных в цифровой логистике и управлении цепями поставок Methods and Tools of Intelligent Data Analysis for Digital Logistics and Supply Chain Management
Serova E., Lukinskiy V., Логистика и управление цепями поставок 2018 № 4(87) С. 73–80
Success of any logistics enterprise in the context of digital economy progress directly depends on regular and effective innovations to the area of improving analytical applications and information systems in such actively developing fields of knowledge as strategic management, distribution networks development, and supply chain management. In an effort to ensure a sustainable economic circumstance ...
Added: September 27, 2018
Intelligent Models and Systems in Spatial Marketing Research
Serova E., Krichevsky M., The Electronic Journal Information Systems Evaluation 2015 Vol. 18 No. 2 P. 159–171
This paper deals with the issues of Russian and international researches in the field of design of sustainable information architecture of management systems in the context of spatial economics. It is theoretical and empirical research in equal measure. Research methodology is methods and procedures of modeling. The main purpose of this paper is consideration the ...
Added: December 28, 2016
Бизнес-анализ и принятие управленческих решений на основе данных и моделей. Теория, практика, инструменты
Serova E., Кричевский М. Л., СПб.: Профессиональная литература, 2016.
Основное назначение использования методов моделирования при решении задач менеджмента – обеспечение взаимопонимания на всех уровнях организации, преодоление разрыва между стратегическим видением и его реализацией на практике. Моделирование рассматривается сегодня как обязательный этап в принятии ответственных управленческих решений в компаниях, активно использующих в своей деятельности современные информационно коммуникационные технологии. Эти компании привлекают в помощь менеджерам системы, ...
Added: October 28, 2016
Dynamic Analysis of the Development of Scientific Communities in the Field of Soft Computing
Kutynina E., Lepskiy A., , in: Advances in Intelligent Systems and ComputingVol. 456: Soft Methods for Data Science.: Springer, 2017. P. 293–302.
This paper is dedicated to the research of the dynamics of development and interactions among several scientific communities in the field of fuzzy logic and soft computing. This analysis was performed with the help of the following characteristics: conferences participants’ renewal, the level of cooperation in scientific communities, participation of one community’s key players in ...
Added: September 28, 2016
SCAKD 2016 – The Second International Workshop on Soft Computing Applications and Knowledge Discovery. Proceedings of the Second International Workshop on Soft Computing Applications and Knowledge Discovery. July 18, 2016
CEUR Workshop Proceedings, 2016.
This volume contains the papers presented at the Second International Workshop on Soft Computing Applications and Knowledge Discovery (SCAKD 2016) held on July 18, 2016 at the National Research University Higher School of Economics, Moscow, Russia. Soft computing is a collection of methodologies, which aim to exploit tolerance for imprecision, uncertainty and partial truth to ...
Added: September 28, 2016
Advances in Intelligent Systems and Computing
Switzerland: Springer, 2015.
The series "Advances in Intelligent Systems and Computing" contains publications on theory, applications, and design methods of Intelligent Systems and Intelligent Computing. Virtually all disciplines such as engineering, natural sciences, computer and information science, ICT, economics, business, e-commerce, environment, healthcare, life science are covered. The list of topics spans all the areas of modern intelligent ...
Added: February 28, 2016
Advances in Intelligent Systems and Computing
Metz: Springer, 2015.
The series "Advances in Intelligent Systems and Computing" contains publications on theory, applications, and design methods of Intelligent Systems and Intelligent Computing. Virtually all disciplines such as engineering, natural sciences, computer and information science, ICT, economics, business, e-commerce, environment, healthcare, life science are covered. The list of topics spans all the areas of modern intelligent ...
Added: October 25, 2015
Strengthening Links Between Data Analysis and Soft Computing
Dordrecht, L., Heidelberg, NY: Springer, 2015.
This book gathers contributions presented at the 7th International Conference on Soft Methods in Probability and Statistics SMPS 2014, held in Warsaw (Poland) on September 22-24, 2014. Its aim is to present recent results illustrating new trends in intelligent data analysis. It gives a comprehensive overview of current research into the fusion of soft computing ...
Added: October 1, 2014
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